*********************** * TRUTH TABLE LISTING * *********************** In this QCA run I explore the factors associated with having IMF Pressure during the period 1970-1985. THe data come from Ragin 2000. The fuzzy sets have been simplified to crisp sets using >5 = 1 recodes. However the analysis done by Ragin has a different OUTCOME: Anti-IMF protest. File: P:/RM2workshops/Workshop2Sept04/imfcrisp2.dat Rows: 7 Cases: 50 Minimum Frequency 0: 1 Minimum Frequency 1: 1 Minimum Frequency -: 1 ============================ ecocrisp libcrisp govcrisp Outcome: C Cases: 20 40.0% (0 = 12 1 = 8 - = 0) In the 20 cases above, the IMF Pressure outcome was contradictory- some had Positive outcomes and some had Negative. ecocrisp libcrisp GOVCRISP Outcome: C Cases: 12 24.0% (0 = 7 1 = 5 - = 0) ECOCRISP libcrisp GOVCRISP Outcome: 1 Cases: 5 10.0% (0 = 0 1 = 5 - = 0) The above are 5 cases, all having the positive outcome for IMF pressure. ecocrisp LIBCRISP govcrisp Outcome: C Cases: 5 10.0% (0 = 2 1 = 3 - = 0) ECOCRISP libcrisp govcrisp Outcome: C Cases: 4 8.0% (0 = 1 1 = 3 - = 0) ECOCRISP LIBCRISP GOVCRISP Outcome: C Cases: 3 6.0% (0 = 1 1 = 2 - = 0) ecocrisp LIBCRISP GOVCRISP Outcome: 1 Cases: 1 2.0% (0 = 0 1 = 1 - = 0) This is a single case which has a positive outcome for IMF Pressure. ********************** * CRISP-SET ANALYSIS * ********************** File: P:/RM2workshops/Workshop2Sept04/imfcrisp2.dat Model: IMFCRISP = ECOCRISP + LIBCRISP + GOVCRISP Cases Read: 50 Valid: 50 100.0% Missing: 0 0.0% 0 Cases: 23 46.0% 1 Cases: 27 54.0% - Cases: 0 0.0% Algorithm: Quine-McCluskey 1 Matrix: 1 0 Matrix: 0 - Matrix: C *** TRUTH TABLE SUMMARY *** Minimum Frequency 0: 1 Minimum Frequency 1: 1 Minimum Frequency -: 1 Configs % Cases % ======================================== 0 Terms: 0 0.0 0 0.0 1 Terms: 2 28.6 6 12.0 - Terms: 0 0.0 0 0.0 C Terms: 5 71.4 44 88.0 0: 23 1: 21 ======================================== Total: 7 100.0 50 100.0 Dropped: 0 0.0 0 0.0 *** CRISP-SET SOLUTION *** GOVCRISP The finding is that if the goverment is actively doing public spending, then that necessarily entails that among these cases it was true that by 1985 they had had IMF pressure. GOVTACTV was the only variable that was 'necessarily' -- ie regularly -- associated with IMFPRESS. You can examine the Fuzzy Set data yourself to see how true this is, and to see the cases involved. However it does appear a bit as a case where government spending is inherently part of the syndrome of high inflation and high import-purchasing that led to so many IMF interventions.